Mikko Juusola
Prof at School of Biosciences
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About
Professor Mikko Juusola is a faculty member at the School of Biosciences at the University of Sheffield, UK. His research focuses on neuromorphic models of active vision, social learning in bumblebees, and advanced imaging techniques for studying photoreceptors in compound eyes. Recent publications highlight his contributions to understanding pattern recognition in insects and their visual processes.
Positions (1)
Andrew Lin
University of Sheffield
9 months ago
This fully funded PhD project, part of the BBSRC Yorkshire Bioscience Doctoral Training Partnership (YBDTP), investigates how neural circuits in the brain compensate for natural environmental changes, focusing on homeostatic plasticity. The research addresses a fundamental question in neuroscience: how do brains maintain stable function despite natural perturbations such as temperature changes? Using the fruit fly (Drosophila) as a model, the project explores how developmental temperature affects brain wiring and synaptic connections, and how the brain compensates to maintain consistent neural activity. The research will employ advanced techniques including electrophysiology, calcium imaging, genetic tagging, and computational modelling to test hypotheses about the roles of inhibitory circuits and intrinsic neuronal properties in maintaining neural stability. The successful candidate will receive interdisciplinary training in experimental and theoretical neuroscience, including live-brain recordings, molecular labelling, quantitative image analysis, and computational modelling. The project is supervised by Dr Andrew Lin and Prof Mikko Juusola at the University of Sheffield's School of Biosciences, within a collaborative team with expertise in electrophysiology, in vivo imaging, Drosophila genetics, and computational neuroscience. The YBDTP offers a vibrant regional doctoral training programme, supporting researchers across multiple Yorkshire and Teesside universities. The studentship is open to UK, EU, and international students, with a competitive selection process and a limited number of full studentships for exceptional international applicants. Funding includes a tax-free stipend at the UKRI rate (£20,780 for 2025/26), research costs, and tuition fees at the UK rate for four years. Applicants should have or expect at least an upper second-class honours degree in a relevant field (biological, chemical, or physical sciences, or mathematics), and demonstrate motivation to bridge experiments and theory in neuroscience. The programme values diversity and encourages applications from underrepresented groups. The application deadline is 7 January 2026, with interviews in February 2025. For more information or to apply, visit the YBDTP website or contact the supervisors directly.
9 months ago
Articles (4)
Year:
2025
Year:
2024
Significance To move efficiently, animals must continuously work out their x,y,z positions with respect to real-world objects, and many animals have a pair of eyes to achieve this. How photoreceptors actively sample the eyes’ optical image disparity is not understood because this fundamental information-limiting step has not been investigated in vivo over the eyes’ whole sampling matrix. This integrative multiscale study will advance our current understanding of stereopsis from static image disparity comparison to a morphodynamic active sampling theory. It shows how photomechanical photoreceptor microsaccades enable Drosophila superresolution three-dimensional vision and proposes neural computations for accurately predicting these flies’ depth-perception dynamics, limits, and visual behaviors.
Year:
2022
Year:
2022
Collaborators (2)
Lars Chittka
Professor at School of Biological and Behavioural Sciences
Queen Mary University of London
James A. R. Marshall
University of Sheffield
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